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List of works by Stefano Ermon

A-NICE-MC: Adversarial Training for MCMC

scientific article published in January 2017

Accelerated Adaptive Markov Chain for Partition Function Computation

scientific article published in January 2011

Adaptive Concentration Inequalities for Sequential Decision Problems

scientific article published in January 2016

Amortized Inference Regularization

Approximating the Permanent by Sampling from Adaptive Partitions

scientific article published in January 2019

Autoregressive Score Matching

scientific article published in November 2020

Belief Propagation Neural Networks

scientific article published in November 2020

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting

article by Aditya Grover et al published 2019 in Advances in Neural Information Processing Systems 32

Bias and Generalization in Deep Generative Models: An Empirical Study

article

Closed-loop optimization of fast-charging protocols for batteries with machine learning

scientific article published on 19 February 2020

Combining satellite imagery and machine learning to predict poverty

scientific article published on August 2016

Constructing Unrestricted Adversarial Examples with Generative Models

Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data

a scholarly article on crop yield prediction in developing countries

Density Propagation and Improved Bounds on the Partition Function

scientific article published in January 2012

Diversity can be Transferred: Output Diversification for White- and Black-box Attacks

scientific article published in November 2020

Efficient Learning of Generative Models via Finite-Difference Score Matching

Embed and Project: Discrete Sampling with Universal Hashing

Generative Adversarial Imitation Learning

scientific article published in January 2016

Generative Modeling by Estimating Gradients of the Data Distribution

Graph and Geometry Generative Modeling for Drug Discovery

scientific article published on 04 August 2023

HiPPO: Recurrent Memory with Optimal Polynomial Projections

scientific article published in November 2020

Hierarchical modeling of seed variety yields and decision making for future planting plans

article

Improved Techniques for Training Score-Based Generative Models

scientific article published in November 2020

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

article published in 2017

Learning to Interpret Satellite Images using Wikipedia

scientific article published in August 2019

MOPO: Model-based Offline Policy Optimization

scientific article published in November 2020

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

scholarly article by Lantao Yu et al published 2019 in Advances in Neural Information Processing Systems 32

MintNet: Building Invertible Neural Networks with Masked Convolutions

Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning

scholarly article published July 2017

Multi-Agent Generative Adversarial Imitation Learning

Multi-label Contrastive Predictive Coding

Neural Network Compression for Noisy Storage Devices

scientific article published on 18 March 2023

Neural Variational Inference and Learning in Undirected Graphical Models

scientific article published in January 2017

PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

scientific article published on 14 February 2018

Predicting Economic Development using Geolocated Wikipedia Articles

scientific article published in August 2019

Probabilistic Circuits for Variational Inference in Discrete Graphical Models

scientific article published in November 2020

Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning

scientific article published on 30 October 2019

Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Solving Marginal MAP Problems with NP Oracles and Parity Constraints

scientific article published in January 2016

Streamlining Variational Inference for Constraint Satisfaction Problems

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.

Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet

scientific article

Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channel

scientific article published on 01 February 2019

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

scientific article published on 22 May 2020

Variational Bayes on Monte Carlo Steroids

scientific article published in January 2016